Conflicts in Policy-Based Distributed Systems Management
IEEE Transactions on Software Engineering
Foundations of Fuzzy Systems
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
An Artificial Intelligence Perspective on Autonomic Computing Policies
POLICY '04 Proceedings of the Fifth IEEE International Workshop on Policies for Distributed Systems and Networks
Policy-Based Network Management: Solutions for the Next Generation (The Morgan Kaufmann Series in Networking)
Policy-based Management: A Historical Perspective
Journal of Network and Systems Management
Preferences in AI: An overview
Artificial Intelligence
LTE Self-Organising Networks (SON): Network Management Automation for Operational Efficiency
LTE Self-Organising Networks (SON): Network Management Automation for Operational Efficiency
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Policy-based Management with rules is a wide-spread approach for operations automation. However, the continuous pressure for decreasing operational costs and increasing reliability of the systems lead to new challenges. Unfortunately, current Policy-based Management Systems lack the ability to act proactively along operational objectives in an autonomous manner in order to face these challenges. In this paper, we present a Policy-based Management System based on a Fuzzy Logic System that attempts to avoid problematic system states before they occur and that is guided by operator objectives expressed as utilities. Our approach can be seen as an extension of current rule-based Policy-based Management Systems, thus, requiring a reduced implementation effort.